Top Healthtech Data & Analytics Jobs

Leads qualitative and quantitative market research to uncover customer, market, competitive, and healthcare insights. Designs and manages studies, analyzes data using statistical and AI-assisted tools, develops reports and dashboards, presents recommendations, maintains research quality, and coordinates external partners. Collaborates with product, engineering, sales, marketing, and customer success teams to influence product strategy, growth, innovation, and customer experience initiatives.

Build and maintain data assets by extracting, transforming, mapping, loading, profiling, cleansing, and enriching data from diverse sources. Support analysts and scientists with data preparation, automated reports, dashboards, documentation, and data quality management. Gather business requirements, identify automation opportunities, and ensure data integrity for analytics and strategic decision-making.

The Clinical Data Associate will program and test clinical trial data collection systems, collaborate with data analytics teams, and enhance data management processes in trials.

Support migration of IMF online courses from edX to the Institute Training Hub. Review and test course materials, assessments, learning assets, and multilingual versions for accuracy, completeness, functionality, and consistency. Identify and document content and technical defects, coordinate remediation with instructional designers, project managers, and vendors, maintain issue logs, track corrections, and conduct retesting to support successful course launches.

Analyzes healthcare-related data to produce reports, visualizations, and actionable insights for customers and internal stakeholders. Uses SQL and Excel to extract and supplement data, creates presentations, supports dashboard and DaaS product testing, and collaborates with product management and data engineering teams. The role also contributes to peer review, problem-solving, and ongoing development of analytical and data storytelling capabilities.

Leads causal inference studies, clinical outcomes analysis, member insights, and strategic opportunity sizing. Translates ambiguous business questions into analytical approaches, applies statistics and machine learning, establishes analytics best practices, mentors analytics professionals, and presents recommendations to executive leadership. Requires healthcare payer data expertise, advanced quantitative methods, strong SQL and Python skills, and experience with cloud data platforms and scalable analytical datasets.

Supports clinical data analysis, workflow improvement, solution requirements, project coordination, clinical content, dashboards, and customer engagement. Serves as a clinical subject matter expert, applying healthcare terminologies, data standards, SQL, Excel, and analytical tools to generate insights from EHR data. Collaborates with EHR vendors, pharmacies, payers, and internal teams on health IT initiatives and clinical solutions, including AI-enabled capabilities.

Manage Oracle and PostgreSQL databases across on-premises and AWS environments, including upgrades, migrations, performance tuning, security, and backup recovery. Design and maintain ETL pipelines using Talend, SQL, Power Automate, and related tools. Perform data profiling, quality analysis, governance, and cloud migration activities. Create technical architecture and lineage documentation while supporting regulated, audit-ready data platforms and integrations.

The Data Analyst will organize, validate, transform, and reconcile data from multiple healthcare practice management systems. Responsibilities include writing SQL and Python scripts, supporting a centralized data warehouse, building BI dashboards, validating data quality, analyzing business trends, documenting data processes, and partnering with Finance, Operations, Marketing, and leadership to deliver actionable insights.

Lead enterprise adoption and toolchain integration for business analysis across federated teams. Design enablement curriculum, integrate standards and AI-enabled tooling (Azure DevOps, ServiceNow, Nexus, Power BI), build decision-oriented dashboards and leading indicators, drive adoption and governance, surface portfolio trends, and partner with stakeholders to improve delivery predictability and compliance.